MLS-C01 Modeling Practice Question
A company is using SageMaker to deploy a model for real-time inference. The model requires GPU for low latency. Which THREE configurations should the company consider for high availability and cost optimization? (Choose three.)
⚠ Common exam trap
Many exam-takers confuse high availability with cost optimization, incorrectly assuming Spot instances (Option A) are suitable for real-time inference despite their interruption risk, or they overlook multi-model endpoints as a GPU-sharing strategy.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a multi-model endpoint to share GPU instances among multiple models.
A multi-model endpoint allows multiple models to be hosted on the same GPU-backed instance, sharing the GPU resources and reducing idle time. This improves cost efficiency by maximizing GPU utilization while still providing low-latency inference for each model. It is a recommended pattern for serving many models with GPU requirements without provisioning separate endpoints.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Spot instances for the endpoint.
Why it's wrong here
Spot instances can be interrupted, affecting availability.
- ✓
Use a multi-model endpoint to share GPU instances among multiple models.
Why this is correct
Increases GPU utilization and reduces cost.
- ✗
Use SageMaker Batch Transform for inference.
Why it's wrong here
Batch Transform is not for real-time inference.
- ✓
Use multiple production variants with different instance types.
Why this is correct
Allows fallback if one instance type is unavailable.
- ✓
Enable automatic scaling based on invocation count.
Why this is correct
Scales instances to handle demand.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLS-C01 exam.